Scalable scatterplot HTML widget — rscatter • rscatter

Create interactive scalable scatterplot using regl-scatterplot JavaScript library.

Usage

rscatter(
  x,
  y,
  size = NULL,
  color = NULL,
  opacity = NULL,
  colorBy = NULL,
  data = NULL,
  width = NULL,
  height = NULL,
  elementId = NULL
)

Arguments

x: numeric vector of x coordinates, OR column name for x in data
y: numeric vector of y coordinates, OR column name for y in data
size: point size
color: point color, pass named color vector to map colors to categories
opacity: point opacity, if not specified the opacity will vary with point density and zoom level
colorBy: factor/chr/numeric vector to colorBy, OR column name for colorBy in data
data: optional data.frame containing data to plot
width: fixed width of canvas in pixels (default is resizable)
height: fixed height of canvas in pixels (default is resizable)
elementId: specify id for containing div

Details

For categorical color encoding ensure the colorBy values are factor or character vectors.

Examples

data(quakes)
rscatter(quakes$long, quakes$lat, size = 10, colorBy = quakes$depth)


# Or pass data.frame
phi = seq(from = 0, to = 50, by = 1e-2)
fermat_spiral = data.frame(
 x = c(-sqrt(phi)*cos(phi), sqrt(phi)*cos(phi)),
 y = c(-sqrt(phi)*sin(phi), sqrt(phi)*sin(phi)),
 branch = rep(c("a", "b"), each = length(phi))
 )
rscatter("x", "y", size = 1.5, colorBy = "branch", data = fermat_spiral)